Build packages, maybe?

README_CHANGES.md

@@ -0,0 +1,58 @@
+# Podcastrr - Forgejo Integration Changes
+
+This document summarizes the changes made to integrate Podcastrr with Forgejo for CI/CD and container registry functionality.
+
+## Files Created
+
+1. **`.drone.yml`**
+   - CI/CD pipeline configuration for Forgejo
+   - Includes steps for testing, building Docker images, and notifications
+   - Automatically builds and pushes Docker images on pushes to the main branch
+
+2. **`README_FORGEJO.md`**
+   - Comprehensive guide for setting up and using Podcastrr with Forgejo
+   - Includes instructions for repository setup, secrets configuration, and using the Docker image
+
+3. **`docker-compose.override.yml.example`**
+   - Template for local customization of Docker Compose setup
+   - Provides examples for development-specific settings
+
+## Files Updated
+
+1. **`.gitignore`**
+   - Added Docker-specific entries
+   - Added common Python patterns
+
+2. **`.env.example`**
+   - Updated for Docker compatibility (Linux-style paths)
+   - Added Forgejo-specific configuration variables
+   - Set production as the default environment
+
+3. **`docker-compose.yml`**
+   - Made it more flexible for Forgejo integration
+   - Added environment variable interpolation with defaults
+   - Added commented options for using Forgejo registry
+
+## Next Steps
+
+1. **Set up your Forgejo repository**
+   - Follow the instructions in `README_FORGEJO.md`
+
+2. **Configure CI/CD secrets**
+   - Add the required secrets to your Forgejo repository settings
+
+3. **Customize for your environment**
+   - Copy `.env.example` to `.env` and update with your settings
+   - Copy `docker-compose.override.yml.example` to `docker-compose.override.yml` for local customization
+
+4. **Push to Forgejo**
+   - The CI/CD pipeline will automatically build and push your Docker image
+
+5. **Pull and run the Docker image**
+   - Use the commands in `README_FORGEJO.md` to pull and run your Docker image
+
+## Additional Information
+
+- The Docker image is built using the existing Dockerfile, which was already well-configured
+- The CI/CD pipeline includes testing to ensure code quality
+- The Docker Compose setup allows for both local development and production deployment